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The Internet of Things in Motion (IoTiM)

By Chad Meley | March 17, 2022

Sensors have evolved from taking readings over time to taking readings over space and time. Understanding this trend and the resulting impacts are essential for innovators seeking to create value in the next wave of IoT products and services. From Transactions to Interactions to Observations The earliest form of data used for analytics described transactions.…

Get Started with the JDBC Connector

By Chad Juliano | March 16, 2022

This tutorial will walk you through how to get started accessing Kinetica with the JDBC Connector. In addition to explaining the core JDBC API best practices it will cover important functionality that is specific to Kinetica. We will start by importing the tutorial project into eclipse and configuring the JDBC connection to use your local…

Tutorial – Interactive 3D Visualizations of Massive Datasets

By Chad Juliano | March 10, 2022

Introduction For companies engaged in oil and gas exploration, getting fast access to high resolution data is an important enabler for finding the right locations to drill a well before their competitors. We worked to pioneer a solution for interactive 3D visualizations of oil basins using datasets containing over 100 billion data points – as…

From Batch to Streaming Analytics – At Scale?

By Hari Subhash | January 16, 2022

The problem is widely felt. As data collection has mushroomed, traditional data systems struggle to produce timely alerts to problems and other real time events. Financial organizations want to be able to spot fraud, or maintain a running tallies of risk and exposure. Tracking systems need to flag when vehicles leave pre-determined paths or allow…

Analyze and Interact with Millions of Points of Geospatial Data on the Fly

By Hari Subhash | November 2, 2021

Spatial data analysis is computationally intensive. Most solutions grind to a crawl at a few million points. But recent advances in parallel computing create opportunities to challenge these computational constraints. Kinetica’s vectorized spatial function library can perform computations on the fly on massive amounts of spatial data.  Matthew Brown shows us some of these capabilities…

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